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AlphaFold Isn’t the Blueprint for AI Science After All: Why Reasoning Agents, Not More Data, Are Next

Architect reviewing detailed floor plans and schematics on a laptop with a smartphone nearby.

AlphaFold’s Nobel-winning success ran on a 53-year, $21 billion dataset most fields will never have. MIT Technology Review reporting shows the AI-for-science field pivoting to reasoning agents while transformers themselves get rethought on cost grounds – and academia gets priced out of studying the models reshaping their world.